PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (451 utterances, 1,619 words searched).

  1. you've done all these , haven't you ? MOT · eng_british_Manchester_I/becky34a.cha, line 24 · Becky 2;11
  2. you've done all these . MOT · eng_british_Manchester_I/becky34a.cha, line 28 · Becky 2;11
  3. you've done that one . MOT · eng_british_Manchester_I/becky34a.cha, line 75 · Becky 2;11
  4. and you've done that one . MOT · eng_british_Manchester_I/becky34a.cha, line 81 · Becky 2;11
  5. you haven't done this one . MOT · eng_british_Manchester_I/becky34a.cha, line 112 · Becky 2;11
  6. well done . MOT · eng_british_Manchester_I/becky34a.cha, line 357 · Becky 2;11
  7. you've done that one , haven't you ? MOT · eng_british_Manchester_I/becky34a.cha, line 369 · Becky 2;11
  8. well done . MOT · eng_british_Manchester_I/becky34a.cha, line 415 · Becky 2;11
  1. CHIno .
    CHIwhat is there one ?
    MOT*MOT: you've done all these , haven't you ?
    CHIwhat ?
    MOTyou've done all these .
  2. MOTyou've done all these , haven't you ?
    CHIwhat ?
    MOT*MOT: you've done all these .
    CHI<I want to> [/] I wanted to go xxx .
    MOTit's over there on the table , look .
  3. CHIwhat ?
    CHII 0have [*] done that one .
    MOT*MOT: you've done that one .
    MOTyes .
    CHIxxx .
  4. MOTyes .
    CHIxxx .
    MOT*MOT: and you've done that one .
    CHII 0have [*] done that .
    MOTdo you want me to draw you some more stars to color in ?
  5. CHII 0have [*] done , mum .
    MOTright .
    MOT*MOT: you haven't done this one .
    MOTthis is v@l .
    CHIv@l .
  6. MOTyes .
    CHIyou can .
    MOT*MOT: well done .
    MOTthis is the last one I think .
    MOTis there any left ?
  7. MOTthis is +...
    MOToh no .
    MOT*MOT: you've done that one , haven't you ?
    MOTlet's just do this one then .
    CHIum yeah .
  8. MOTyeah ?
    MOTthat's it .
    MOT*MOT: well done .
    MOTgood girl .
    MOTshall we play with some of your toys now ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Becky eng_british_Manchester_I4.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619884.94

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. done8 · 100.0%